Timo Lüddecke
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
- Robotic Path Planning Algorithms
Papers in
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- Human Pose and Action Recognition 4
- Multimodal Machine Learning Applications 3
- Advanced Neural Network Applications 2
- Advanced Image and Video Retrieval Techniques 2
- Robotic Path Planning Algorithms 2
- Co-authors
- Alexander S. EckerFlorentin WörgötterTomas KulvičiusMinija TamošiūnaitėAlejandro AgostiniMichael FauthClaudia FichtelJulia Ostner
- Journals
- Robotics and Autonomous Systems (2 papers)Nature Methods (1 paper)Artificial Intelligence (1 paper)IEEE Robotics and Automation Letters (1 paper)Ecological Informatics (1 paper)
- Partner nations
- GermanyLithuaniaKazakhstan
In The Last Decade
Timo Lüddecke
11 papers receiving 309 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 211
- Computer Graphics and Computer-Aided Design 12
- Artificial Intelligence 107
- Media Technology 19
- Geography, Planning and Development 8
Countries citing papers authored by Timo Lüddecke
This map shows the geographic impact of Timo Lüddecke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Timo Lüddecke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Lüddecke more than expected).
Fields of papers citing papers by Timo Lüddecke
This network shows the impact of papers produced by Timo Lüddecke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Timo Lüddecke. The network helps show where Timo Lüddecke may publish in the future.
Co-authors
The 25 scholars most cited alongside Timo Lüddecke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2023 | 1 | |
| 5 | Image Segmentation Using Text and Image Prompts Hit paper breakdown → | 2022 | 250 |
| 6 | 2021 | 7 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 2 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 7 | |
| 12 | 2017 | 15 | |
| 13 | 2017 | 0 |
About Timo Lüddecke
Timo Lüddecke is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Geology, Automotive Engineering and Control and Systems Engineering, having authored 13 papers that have together received 316 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Robot Manipulation and Learning (3 papers), Multimodal Machine Learning Applications (3 papers), Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Robotic Locomotion and Control (2 papers), Robotic Path Planning Algorithms (2 papers) and Structural Health Monitoring Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (211 citations), Computer Graphics and Computer-Aided Design (12 citations), Artificial Intelligence (107 citations), Media Technology (19 citations) and Geography, Planning and Development (8 citations). Timo Lüddecke has collaborated with scholars based in Germany, Lithuania and Kazakhstan. Frequent co-authors include Alexander S. Ecker, Florentin Wörgötter, Tomas Kulvičius, Minija Tamošiūnaitė, Alejandro Agostini, Michael Fauth, Claudia Fichtel, Julia Ostner, Henrik Ebel and R. Thundil Karuppa Raj. Their work appears in journals such as Robotics and Autonomous Systems, Nature Methods, Artificial Intelligence, IEEE Robotics and Automation Letters and Ecological Informatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.